18,961 Lead Data Scientist jobs in India
Lead Data Scientist
Gurgaon, Haryana
S&P Global
Posted 3 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
0
Lead Data Scientist
Bangalore, Karnataka
S&P Global
Posted 3 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
1
Lead Data Scientist
Hyderabad, Andhra Pradesh
S&P Global
Posted 3 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
2
Lead Data Scientist
Bangalore, Karnataka
UnitedHealth Group
Posted 9 days ago
Job Viewed
Job Description
Role Summary: As a Lead Data Scientist, you will drive strategic data initiatives, lead advanced analytics projects, and mentor a team of data scientists. You will collaborate cross-functionally to translate business problems into data-driven solutions, leveraging machine learning, statistical modeling, and big data technologies.
Key Responsibilities:
Leadership & Strategy:
Lead end-to-end data science projects from ideation to deployment.
Define and drive the data science roadmap aligned with business goals.
Mentor junior data scientists and foster a culture of innovation and collaboration.
Technical Expertise:
Design and implement predictive models, optimization algorithms, and statistical analyses.
Develop scalable machine learning pipelines and deploy models in production environments.
Perform exploratory data analysis and feature engineering on large datasets.
Collaboration & Communication:
Work closely with product, engineering, and business stakeholders to identify opportunities and deliver insights.
Communicate complex analytical concepts to non-technical audiences effectively.
Present findings and recommendations to senior leadership.
Tools & Technologies:
Proficiency in Python/R, SQL, Spark, and cloud platforms (AWS/GCP/Azure).
Experience with ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Familiarity with data visualization tools (e.g., Tableau, Power BI, Plotly).
ML Ops Monitoring and Observability tool development
- Undergraduate degree or equivalent experience.
Preferred Qualifications:
1. Masters/ M tech / Ph.D. with a strong research background in machine learning or statistical modeling.
2. Certifications in cloud platforms (AWS Certified Machine Learning, Google Professional Data Engineer, etc.).
**Careers with Optum.** Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do **your life's best work.** **SM**
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
#NIC #NJP
Key Responsibilities:
Leadership & Strategy:
Lead end-to-end data science projects from ideation to deployment.
Define and drive the data science roadmap aligned with business goals.
Mentor junior data scientists and foster a culture of innovation and collaboration.
Technical Expertise:
Design and implement predictive models, optimization algorithms, and statistical analyses.
Develop scalable machine learning pipelines and deploy models in production environments.
Perform exploratory data analysis and feature engineering on large datasets.
Collaboration & Communication:
Work closely with product, engineering, and business stakeholders to identify opportunities and deliver insights.
Communicate complex analytical concepts to non-technical audiences effectively.
Present findings and recommendations to senior leadership.
Tools & Technologies:
Proficiency in Python/R, SQL, Spark, and cloud platforms (AWS/GCP/Azure).
Experience with ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
Familiarity with data visualization tools (e.g., Tableau, Power BI, Plotly).
ML Ops Monitoring and Observability tool development
- Undergraduate degree or equivalent experience.
Preferred Qualifications:
1. Masters/ M tech / Ph.D. with a strong research background in machine learning or statistical modeling.
2. Certifications in cloud platforms (AWS Certified Machine Learning, Google Professional Data Engineer, etc.).
**Careers with Optum.** Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do **your life's best work.** **SM**
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
#NIC #NJP
This advertiser has chosen not to accept applicants from your region.
3
Lead Data Scientist
Hyderabad, Andhra Pradesh
UnitedHealth Group
Posted 9 days ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
**Primary Responsibilities:**
+ Drive client value by:
+ Creating innovative solutions driven by exploratory data analysis from diverse datasets
+ Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity
+ Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products
+ Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data
+ Leading efforts for applied use of machine learning to drive process optimization and transformation
+ Applying knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
+ Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
+ Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
+ Communicate the performance of the machine learning algorithms across an interdisciplinary team
+ Create impact at scale by:
+ Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
+ Designing and promoting best practices related to data enrichment, advanced modeling, and algorithm creation in support of analytically driven insight
+ Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
+ Leading efforts to build sophisticated data enrichment processes that server as the single source of truth to expanded insights on base data
+ Ensuring complex analytics adhere to statistical best practices
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
+ 8+ years of combined experience in data science, data enrichment, and advanced modeling
+ 8+ years of experience creating models/solutions using Python, Spark-SQL, Scala or other similar coding language
+ 8+ years of experience manipulating large data sets through statistical software (ex. R, SAS) or other methods
+ 5+ years of experience managing complex data projects and programs
+ 5+ years of experience creating healthcare analytics
+ Hands on experience in Microsoft Azure, Databricks, Mlflow and model deployment frameworks
+ Hands-on experience in implementing and training machine learning algorithms and statistical analyses, including for example non-parametric tests,
+ linear mixed models, modern supervised and unsupervised machine learning algorithms such as SVM, random forest, PCA, t-SNE, clustering, deep learning, and LLMs
+ Highly proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
+ Proven excellent communication and presentation skills
+ Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#NIC #NJP
**Primary Responsibilities:**
+ Drive client value by:
+ Creating innovative solutions driven by exploratory data analysis from diverse datasets
+ Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity
+ Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products
+ Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data
+ Leading efforts for applied use of machine learning to drive process optimization and transformation
+ Applying knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
+ Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
+ Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
+ Communicate the performance of the machine learning algorithms across an interdisciplinary team
+ Create impact at scale by:
+ Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
+ Designing and promoting best practices related to data enrichment, advanced modeling, and algorithm creation in support of analytically driven insight
+ Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
+ Leading efforts to build sophisticated data enrichment processes that server as the single source of truth to expanded insights on base data
+ Ensuring complex analytics adhere to statistical best practices
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
+ 8+ years of combined experience in data science, data enrichment, and advanced modeling
+ 8+ years of experience creating models/solutions using Python, Spark-SQL, Scala or other similar coding language
+ 8+ years of experience manipulating large data sets through statistical software (ex. R, SAS) or other methods
+ 5+ years of experience managing complex data projects and programs
+ 5+ years of experience creating healthcare analytics
+ Hands on experience in Microsoft Azure, Databricks, Mlflow and model deployment frameworks
+ Hands-on experience in implementing and training machine learning algorithms and statistical analyses, including for example non-parametric tests,
+ linear mixed models, modern supervised and unsupervised machine learning algorithms such as SVM, random forest, PCA, t-SNE, clustering, deep learning, and LLMs
+ Highly proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
+ Proven excellent communication and presentation skills
+ Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#NIC #NJP
This advertiser has chosen not to accept applicants from your region.
4
Lead Data Scientist
Gurgaon, Haryana
S&P Global
Posted 9 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
5
Lead Data Scientist
Ahmedabad, Gujarat
S&P Global
Posted 9 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Lead data scientist Jobs in India !
6
Lead Data Scientist
Gurgaon, Haryana
S&P Global
Posted 9 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
7
Lead Data Scientist
Hyderabad, Andhra Pradesh
S&P Global
Posted 9 days ago
Job Viewed
Job Description
**About the Role:**
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
**Grade Level (for internal use):**
11
**The Team** : As a member of the EDO, Collection Platforms & AI - Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
+ Contribute to solving high-complexity, high-impact problems end-to-end
+ Architect and oversee production-ready pipelines from ideation to deployment
**Responsibilities:**
+ Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
+ Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
+ Own all stages of the data science project lifecycle, including:
+ Identification and scoping of high-value data science and AI opportunities
+ Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
+ Evaluation, interpretation, and communication of results to executive stakeholders
+ Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
+ Establish and enforce coding standards, perform code reviews, and optimize data science workflows
+ Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
+ Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
+ Manage stakeholders across functions to ensure alignment and timely delivery
**Technical Requirements:**
+ Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval
+ Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers)
+ Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems
+ Strong grasp of statistics, probability, and the mathematics underpinning modern AI
+ Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
+ Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions
+ Familiarity with orchestration and deployment tools: Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit
+ Openness to evaluate and adopt emerging technologies and programming languages as needed
**Good to have:**
+ Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor's)
+ 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role
+ Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products
+ Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
This advertiser has chosen not to accept applicants from your region.
8
Lead Data Scientist
Pune, Maharashtra
Futran Solutions
Posted today
Job Viewed
Job Description
Job Title: Lead Data Scientist
Location: Pune, India
Experience: 6+ years
Job Description:
We are looking for a skilled Data & ML Platform Engineer to drive performance tuning, system reliability, and automation across our data infrastructure. You'll collaborate with development teams, manage data platforms, and lead capacity planning efforts. A strong focus on operational excellence, automation, and scalable system design is essential.
Key Responsibilities:
- Analyze OS/application metrics for performance optimization and fault resolution
- Collaborate on testing, release, and CI/CD for data services
- Lead capacity planning and platform management initiatives
- Automate processes and uplift infrastructure for long-term sustainability
- Ensure system reliability while supporting fast-paced feature development
Required Skills:
- Proficient in Python/R, Hadoop, Spark, MySQL
- Experienced in ML, NLP, anomaly detection, time-series analysis
- Hands-on with ETL, dashboards (Domo, Alteryx), and ITSM tools (BMC Remedy)
- Skilled in Linux data environments, JupyterHub, Kubernetes, AI/ML platforms
- Working knowledge of CHEF and data edge node management
- Experience with Airflow for workflow automation
This advertiser has chosen not to accept applicants from your region.
9